Harini Veeraraghavan

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Joseph O. Deasy, PhDMemorial Sloan Kettering Cancer CenterEmail confirmado em mskcc.org
Neelam TyagiAttending Physicist, Memorial Sloan-Kettering Cancer CenterEmail confirmado em mskcc.org
Aditya P. ApteMemorial Sloan-Kettering Cancer CenterEmail confirmado em mskcc.org
Hebert Alberto VargasNew York University Grossman School of MedicineEmail confirmado em nyulangone.org
Nikolaos PapanikolopoulosProfessor of Computer Science, University of MinnesotaEmail confirmado em cs.umn.edu
Maria ThorAssistant Attending Physicist, Memorial Sloan Kettering Cancer CenterEmail confirmado em mskcc.org
Duc FehrAdministration des Contributions Directes, LuxembourgEmail confirmado em co.etat.lu
Jinzhong YangMD Anderson Cancer CenterEmail confirmado em mdanderson.org
Stephanie NougaretMontpellier Cancer Research Institute (IRCM)Email confirmado em dbmail.com
Carol Aghajanian, MDChief, Gynecologic Medical Oncology Service, Memorial Sloan Kettering Cancer CenterEmail confirmado em mskcc.org
Dmitriy ZamarinIcahn School of Medicine at Mount SinaiEmail confirmado em mssm.edu
Paul SchraterUniversity of MinnesotaEmail confirmado em umn.edu
Martin L MillerSenior Director, AstraZenecaEmail confirmado em astrazeneca.com
James MillerSenior Principal Scientist, Artificial Intelligence, GE Global ResearchEmail confirmado em ge.com
Sunitha B thakurMemorial Sloan Kettering Cancer CenterEmail confirmado em mskcc.org
Alejandro Jiménez-SánchezPostdoctoral Research Fellow, Computational & Systems Biology Program, Sloan Kettering InstituteEmail confirmado em mskcc.org
Maria GiniProfessor of Computer Science and Engineering, University of MinnesotaEmail confirmado em umn.edu
Tina KapurBrigham and Women's Hospital, Harvard Medical SchoolEmail confirmado em bwh.harvard.edu
Taha MerghoubAssociate Professor, MSKEmail confirmado em mskcc.org
Ziad SalehMemorial Sloan-Kettering Cancer Center, Washington University School of Medicine in St LouisEmail confirmado em mskcc.org

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Harini Veeraraghavan

Associate Attending Computer Scientist, Memorial Sloan-Kettering Cancer Center

Email confirmado em mskcc.org - Página inicial

Multi-modality analysis image segmentation deep/machine learning image registration radiomics


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Heterogeneous tumor-immune microenvironments among differentially growing metastases in an ovarian cancer patient A Jiménez-Sánchez, D Memon, S Pourpe, H Veeraraghavan, Y Li, ... Cell 170 (5), 927-938. e20, 2017	483	2017
Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason … A Wibmer, H Hricak, T Gondo, K Matsumoto, H Veeraraghavan, D Fehr, ... European radiology 25, 2840-2850, 2015	477	2015
Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images D Fehr, H Veeraraghavan, A Wibmer, T Gondo, K Matsumoto, HA Vargas, ... Proceedings of the National Academy of Sciences 112 (46), E6265-E6273, 2015	455	2015
A rectal cancer organoid platform to study individual responses to chemoradiation K Ganesh, C Wu, KP O’Rourke, BC Szeglin, Y Zheng, CEG Sauvé, ... Nature medicine 25 (10), 1607-1614, 2019	453	2019
Vision 20/20: perspectives on automated image segmentation for radiotherapy G Sharp, KD Fritscher, V Pekar, M Peroni, N Shusharina, ... Medical physics 41 (5), 050902, 2014	444	2014
Unravelling tumour heterogeneity using next-generation imaging: radiomics, radiogenomics, and habitat imaging E Sala, E Mema, Y Himoto, H Veeraraghavan, JD Brenton, A Snyder, ... Clinical radiology 72 (1), 3-10, 2017	352	2017
MR imaging of rectal cancer: radiomics analysis to assess treatment response after neoadjuvant therapy N Horvat, H Veeraraghavan, M Khan, I Blazic, J Zheng, M Capanu, E Sala, ... Radiology 287 (3), 833-843, 2018	347	2018
Computer vision algorithms for intersection monitoring H Veeraraghavan, O Masoud, NP Papanikolopoulos IEEE Transactions on Intelligent Transportation Systems 4 (2), 78-89, 2003	316	2003
Multiple resolution residually connected feature streams for automatic lung tumor segmentation from CT images J Jiang, YC Hu, CJ Liu, D Halpenny, MD Hellmann, JO Deasy, G Mageras, ... IEEE transactions on medical imaging 38 (1), 134-144, 2018	290	2018
GBM volumetry using the 3D Slicer medical image computing platform J Egger, T Kapur, A Fedorov, S Pieper, JV Miller, H Veeraraghavan, ... Scientific reports 3 (1), 1364, 2013	283	2013
Autosegmentation for thoracic radiation treatment planning: a grand challenge at AAPM 2017 J Yang, H Veeraraghavan, SG Armato III, K Farahani, JS Kirby, ... Medical physics 45 (10), 4568-4581, 2018	262	2018
Tumor-aware, adversarial domain adaptation from CT to MRI for lung cancer segmentation J Jiang, YC Hu, N Tyagi, P Zhang, A Rimner, GS Mageras, JO Deasy, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018	229	2018
Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer KM Boehm, EA Aherne, L Ellenson, I Nikolovski, M Alghamdi, ... Nature cancer 3 (6), 723-733, 2022	204	2022
Differentiation of uterine leiomyosarcoma from atypical leiomyoma: diagnostic accuracy of qualitative MR imaging features and feasibility of texture analysis Y Lakhman, H Veeraraghavan, J Chaim, D Feier, DA Goldman, ... European radiology 27, 2903-2915, 2017	164	2017
Breast cancer molecular subtype classifier that incorporates MRI features EJ Sutton, BZ Dashevsky, JH Oh, H Veeraraghavan, AP Apte, SB Thakur, ... Journal of Magnetic Resonance Imaging 44 (1), 122-129, 2016	151	2016
Breast cancer subtype intertumor heterogeneity: MRI‐based features predict results of a genomic assay EJ Sutton, JH Oh, BZ Dashevsky, H Veeraraghavan, AP Apte, SB Thakur, ... Journal of Magnetic Resonance Imaging 42 (5), 1398-1406, 2015	151	2015
Extension of CERR for computational radiomics: A comprehensive MATLAB platform for reproducible radiomics research AP Apte, A Iyer, M Crispin‐Ortuzar, R Pandya, LV Van Dijk, E Spezi, ... Medical physics 45 (8), 3713-3720, 2018	143	2018
Deep learning-based auto-segmentation of targets and organs-at-risk for magnetic resonance imaging only planning of prostate radiotherapy S Elguindi, MJ Zelefsky, J Jiang, H Veeraraghavan, JO Deasy, MA Hunt, ... Physics and imaging in radiation oncology 12, 80-86, 2019	117	2019
A novel representation of inter-site tumour heterogeneity from pre-treatment computed tomography textures classifies ovarian cancers by clinical outcome HA Vargas, H Veeraraghavan, M Micco, S Nougaret, Y Lakhman, ... European radiology 27, 3991-4001, 2017	115	2017
Impact of image preprocessing on the scanner dependence of multi-parametric MRI radiomic features and covariate shift in multi-institutional glioblastoma datasets H Um, F Tixier, D Bermudez, JO Deasy, RJ Young, H Veeraraghavan Physics in Medicine & Biology 64 (16), 165011, 2019	107	2019

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